On-vehicle device, information processing system, and information processing method

Abstract

To prevent a recurrence of dangerous driving behavior.SOLUTION: An on-vehicle device according to an embodiment includes a controller. In the case that a driving support system is activated due to dangerous driving behavior by a vehicle, the controller specifies an activation factor for the driving support system, and notifies the driver of the activation factor.SELECTED DRAWING: Figure 2

Description

[Technical Field]

[0001] The present invention relates to an in-vehicle device, an information processing system, and an information processing method. [Background technology]

[0002] There are conventional techniques for providing educational materials related to safe driving to vehicle drivers. For example, Patent Document 1 discloses a technique for providing educational materials generated based on risky driving behaviors of the driver to the driver. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-186332 Summary of the Invention [Problem to be solved by the invention]

[0004] However, conventional technologies have room for improvement in preventing the recurrence of risky driving behavior. For example, when an Advanced Driver-Assistance System (ADAS) is activated due to a driver's risky driving behavior, a warning is issued to the driver. However, no consideration is given to explaining the trigger of the ADAS, which may lead to the driver repeatedly engaging in similar risky driving behavior.

[0005] The present invention has been made in view of the above, and has an object to provide an in-vehicle device, an information processing system, and an information processing method that can prevent the recurrence of dangerous driving behavior. [Means for solving the problem]

[0006] In order to solve the above-mentioned problems and achieve the object, an in-vehicle device according to the present invention includes a controller, which, when a driving assistance system is activated due to a risky driving behavior by a driver of a vehicle, identifies a trigger for the activation of the driving assistance system and notifies the driver of the trigger. [Effects of the Invention]

[0007] According to the present invention, the driver is notified of the triggering factor of the driving assistance system, thereby preventing the recurrence of dangerous driving behavior. [Brief explanation of the drawings]

[0008] [Figure 1] FIG. 1 is a diagram illustrating an overview of an information processing system. [Figure 2] FIG. 2 is a diagram illustrating an outline of information processing according to the embodiment. [Figure 3] FIG. 3 is a block diagram of the in-vehicle device. [Figure 4] FIG. 4 is a diagram illustrating a specific example of an ADAS. [Figure 5] FIG. 5 is a diagram illustrating an example of a model stored in the storage unit. [Figure 6] FIG. 6 is a block diagram of an information processing device. [Figure 7] FIG. 7 is a diagram showing an example of an instruction message list. [Figure 8] FIG. 8 is a flowchart showing a processing procedure executed by the in-vehicle device. [Figure 9] FIG. 9 is a flowchart showing a processing procedure executed by the information processing device. DETAILED DESCRIPTION OF THE INVENTION

[0009] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS The present invention will be described below with reference to the accompanying drawings. The present invention is not limited to the following embodiments.

[0010] First, an overview of an information processing system according to an embodiment will be described with reference to Fig. 1. Fig. 1 is a diagram showing an overview of the information processing system. As shown in Fig. 1, the information processing system S according to an embodiment is a system that generates and distributes e-learning teaching materials for safe driving instruction and the like. As shown in Fig. 1, the information processing system S includes an in-vehicle device 50, an information processing device 1, and a student terminal 200. The student terminal 200 corresponds to an example of a "driver's terminal device."

[0011] The information processing device 1 analyzes the vehicle situation when a specific event such as an accident or a near miss is detected based on the vehicle data transmitted from the vehicle. The information processing device 1 also generates teaching materials based on the analysis results.

[0012] The in-vehicle device 50 is a video recording device (drive recorder) mounted on the vehicle C. The in-vehicle device 50 has an in-camera that captures video from inside the vehicle and an out-camera that captures video from outside the vehicle.

[0013] While the vehicle is running, the in-vehicle device 50 records vehicle data, including images of the interior and exterior of the vehicle captured by the in-camera and the out-camera, in a ring buffer memory in an overwritable manner for a certain period of time. The certain period is, for example, 24 hours. The vehicle data may include various data indicating the status of the vehicle, such as date and time information, location information, vehicle speed, and G-force, in addition to the images of the interior and exterior of the vehicle.

[0014] The in-vehicle device 50 also detects specific events such as the occurrence of an accident or a near miss. For example, when a change in vehicle speed or a change in G-value satisfies a predetermined event condition corresponding to the occurrence of a pre-set accident or a near miss, the in-vehicle device 50 detects the specific event.

[0015] In the information processing system S according to the embodiment, the information processing device 1 acquires vehicle data transmitted from a vehicle, for example, at a predetermined interval (step S1). The vehicle data includes an in-vehicle image, an outside-vehicle image, date and time information, location information, vehicle speed, G value, etc.

[0016] Next, the information processing device 1 analyzes the vehicle data acquired from the vehicle and generates teaching materials according to the analysis results (step S2). For example, the information processing device 1 analyzes the driving tendencies of the driver from in-vehicle video and generates teaching materials according to the driving tendencies.

[0017] Then, the information processing device 1 provides the generated teaching materials to the student terminal 200 (step S3). The student terminal 200 is a terminal device used by students taking e-learning courses. The student terminal 200 is realized by a PC (Personal Computer), a smartphone, or the like. For example, the teaching materials are in the form of questions, and the driver who is the student takes the e-learning course by answering the questions provided as the teaching materials.

[0018] Incidentally, there are vehicles equipped with advanced driver-assistance systems (hereinafter referred to as ADAS). ADAS is a system that supports a driver in safely driving the vehicle. Note that ADAS corresponds to an example of a driving assistance system. Furthermore, the driving assistance system is not limited to ADAS, and may be any system.

[0019] An example of an ADAS is an automatic braking function. For example, when the distance between the vehicle and the vehicle ahead falls below a threshold, the automatic braking function of the ADAS is activated. Here, if the trigger for the automatic braking function is a dangerous driving behavior by the driver, it is desirable to notify the driver of the trigger. In other words, if the trigger for the automatic braking function is not notified to the driver, the driver may repeatedly perform the same dangerous driving behavior, which may cause the automatic braking function to be activated by a similar event.

[0020] Therefore, when the ADAS is activated due to a risky driving behavior by the driver, the in-vehicle device 50 according to the embodiment notifies the driver of the cause of activation of the ADAS. Here, an overview of information processing according to the embodiment will be described with reference to FIG. 2. FIG. 2 is a diagram illustrating an overview of information processing according to the embodiment. Note that, here, an automatic braking function will be described as an example of the ADAS. Note that other examples of the ADAS will be described later with reference to FIG. 4.

[0021] 2, when the in-vehicle device 50 detects activation of the ADAS (step S11), it identifies the cause of activation of the ADAS (step S12). For example, the in-vehicle device 50 identifies the cause of activation of the ADAS by analyzing an in-vehicle video.

[0022] More specifically, the in-vehicle device 50 analyzes the in-vehicle video and determines whether the driver engaged in risky driving behavior when the ADAS was activated. For example, risky driving behaviors include distracted driving, drowsy driving, and talking on the phone while driving. The in-vehicle device 50 identifies the relevant risky driving behavior from distracted driving, drowsy driving, and talking on the phone while driving as a factor in activating the automatic braking function. In the following description, it is assumed that the factor in activating the automatic braking function is distracted driving.

[0023] Next, the in-vehicle device 50 notifies the driver of the trigger for the ADAS, for example, in real time (step S13). For example, the in-vehicle device 50 notifies the driver of the trigger using voice. In the example shown in FIG. 2, the voice announcing the trigger is "Distracted driving is dangerous. The brakes have been applied." Note that the notification of the trigger does not have to be in real time, and may be made at a predetermined interval after the trigger is identified.

[0024] This allows the driver to recognize that the ADAS activation factor is his / her own risky driving behavior (inattentive driving in this case). After that, the in-vehicle device 50 implements education on risky driving behavior while the vehicle C is waiting at a traffic light or stopped after parking, or when the driver's driving load falls below a threshold (step S14).

[0025] The education here is, for example, to notify the driver of points to be careful about in a situation where a dangerous driving behavior has occurred. In other words, the in-vehicle device 50 can alert and instruct the driver about dangerous driving behavior by subsequently carrying out education on the dangerous driving behavior.

[0026] In this way, the in-vehicle device 50 identifies the trigger for the ADAS and notifies the driver in real time. Therefore, according to the in-vehicle device 50 according to the embodiment, the driver is notified of the trigger for the ADAS, thereby preventing the recurrence of dangerous driving behavior.

[0027] Furthermore, after notifying the driver of the triggering factor, the in-vehicle device 50 provides education on dangerous driving behavior. Therefore, the in-vehicle device 50 according to the embodiment can raise the driver's awareness of safe driving, thereby preventing the recurrence of dangerous driving behavior.

[0028] Next, a configuration example of the in-vehicle device 50 according to the embodiment will be described with reference to Fig. 3. Fig. 3 is a block diagram of the in-vehicle device 50. As shown in Fig. 3, the in-vehicle device 50 is connected to an in-camera 101, an out-camera 102, an in-vehicle sensor 103, an ADAS 104, and an HMI (Human Machine Interface) unit 110.

[0029] The in-camera 101 is a camera that captures images inside the vehicle, and mainly captures images of the driver while driving. The out-camera 102 is a camera that captures images outside the vehicle, and captures images in front of the vehicle.

[0030] The on-vehicle sensors 103 include a GPS (Global Positioning System) sensor, a G sensor, a vehicle speed sensor, an accelerator sensor, a brake sensor, etc. The on-vehicle sensors 103 are connected to the on-vehicle device 50 via an on-vehicle network such as a CAN (Controller Area Network).

[0031] The ADAS 104 is a system that supports a driver in safely performing driving operations. A specific example of the ADAS 104 will now be described with reference to Fig. 4. Fig. 4 is a diagram showing a specific example of the ADAS.

[0032] 4, the ADAS 104 includes functions such as a forward collision warning, an Advanced Emergency Braking System (AEBS), a lane departure warning, and a lane departure prevention support system. The forward collision warning is a function that warns the user when the possibility of a collision with a vehicle ahead increases.

[0033] The collision damage mitigation braking control system is a function that automatically applies the brakes if the user fails to take evasive action despite being warned of a forward collision. The lane departure warning system is a function that warns the vehicle of lane departure. The lane departure prevention support system is a function that automatically returns the vehicle to its original lane after warning the vehicle of lane departure.

[0034] Returning to the explanation of FIG. 3, the HMI unit 110 will now be described. The HMI unit 110 includes an input interface that accepts input operations from a driver or the like. The input interface is realized by, for example, a touch panel. The input interface may also be realized by a keyboard, a mouse, a pen tablet, a microphone, or the like. The input interface may also be realized by software components. The HMI unit 110 includes an output interface that presents image information and audio information to a driver or the like. The output interface is realized by, for example, a display, a speaker, or the like.

[0035] 3, the in-vehicle device 50 has a communication unit 51, a storage unit 52, and a controller 53. The communication unit 51 is realized by a network adapter or the like. The communication unit 51 is connected to a network by wire or wirelessly, and transmits and receives information between the information processing device 1 and the student terminal 200 via the network.

[0036] The storage unit 52 is realized by a storage device such as a ROM (Read Only Memory), a RAM (Random Access Memory), or a flash memory. The storage unit 52 stores vehicle data and the like. The vehicle data includes various data indicating the status of the vehicle, such as in-vehicle and out-of-vehicle images, date and time information, location information, vehicle speed, and G-value.

[0037] The storage unit 52 also stores various models for detecting risky driving behaviors. Fig. 5 is a diagram showing an example of the models stored in the storage unit 52. As shown in Fig. 5, the storage unit 52 stores a model for each type of risky driving behavior. Each model is a model for detecting a corresponding risky driving behavior from in-vehicle video.

[0038] In the example shown in FIG. 5, the memory unit 52 stores a distracted driving detection model for detecting distracted driving, a drowsy driving detection model for detecting drowsy driving, and a talking driving model for detecting talking while driving using a smartphone or the like.

[0039] The controller 53, which will be described later, uses these models to detect risky driving behavior by the driver.

[0040] Returning to the explanation of FIG. 3, the controller 53 will be described. The controller 53 corresponds to a so-called processor. The controller 53 is realized by a CPU (Central Processing Unit), an MPU (Micro Processing Unit), a GPU (Graphical Processing Unit), or the like. The controller 53 executes a program according to an embodiment (not shown) stored in the storage unit 52, using RAM as a work area. The controller 53 can also be realized by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

[0041] When the ADAS 104 is activated due to a risky driving behavior by the driver of the vehicle, the controller 53 identifies the cause of activation of the ADAS 104 and notifies the driver of the cause of activation.

[0042] First, when the ADAS 104 is activated, the controller 53 receives a notification of the activated function from the ADAS 104. Next, the controller 53 identifies a cause of activation of the ADAS 104 based on, for example, an in-vehicle image acquired from the in-camera 101.

[0043] The controller 53 inputs the in-vehicle video during the period when the ADAS 104 was activated to each model shown in Fig. 5. Then, based on the output result of each model, the controller 53 determines whether or not the driver was engaging in risky driving behavior when the ADAS 104 was activated.

[0044] The controller 53 determines that a risky driving behavior corresponding to a model whose output score exceeds a threshold has been performed, and identifies the risky driving behavior as a trigger for the ADAS 104.

[0045] Then, the controller 53 notifies the driver of the triggering factor through the HMI unit 110. The controller 53 notifies the driver of the triggering factor by voice. At this time, the in-vehicle device 50 preferably notifies the driver of the triggering factor in as short a sentence as possible that includes the type of dangerous driving behavior that triggered the triggering factor and the type of activated ADAS 104.

[0046] This is because the longer the sentence to be notified to the driver, the more resources the driver may have to devote to understanding the sentence. Therefore, when notifying the driver of the triggering factor in real time, the in-vehicle device 50 can notify the driver of the necessary information without distracting the driver from driving by calling the driver's attention as briefly as possible.

[0047] Furthermore, for example, when the controller 53 identifies a risky driving behavior as a cause of activation of the ADAS 104, the controller 53 transmits risky driving behavior information to the information processing device 1 via the communication unit 51.

[0048] The risky driving behavior information includes the type of activated ADAS 104, the type of risky driving behavior, time information, driving environment information, etc. The driving environment information includes information on the location where the ADAS 104 was activated, such as an intersection or a T-junction, and location information, etc. The controller 53 assigns a terminal identifier for identifying the in-vehicle device 50 to the risky driving behavior information and transmits it to the information processing device 1.

[0049] The information processing device 1 generates educational materials to be provided to the driver based on the data, and transmits the generated educational materials to the in-vehicle device 50. Then, the controller 53 provides education using the educational materials received from the information processing device 1 at a predetermined timing.

[0050] For example, the in-vehicle device 50 provides education on the trigger factors when the vehicle is stopped or when the driver's driving load falls below a threshold. When the vehicle is stopped, this includes waiting at a traffic light or while the vehicle is parked, and when the driver's driving load falls below a threshold, this includes, for example, when the vehicle is traveling on a straight road with a good view.

[0051] The controller 53 detects the timing when the vehicle is stopped or when the driver's driving load falls below a threshold based on the vehicle speed, position information, etc., and implements the education designated by the information processing device 1 at such timing.

[0052] In this way, the controller 53 can provide education when the driver is in a relaxed state, thereby enabling the driver to efficiently study while taking safety into consideration.

[0053] Next, a configuration example of the information processing device 1 according to the embodiment will be described with reference to Fig. 6. Fig. 6 is a block diagram of the information processing device 1. As shown in Fig. 6, the information processing device 1 includes a communication unit 2, a controller 3, and a storage unit 4.

[0054] The communication unit 51 is realized by a network adapter etc. The communication unit 51 is connected to a network by wire or wirelessly, and transmits and receives information between the in-vehicle device 50 and the student terminal 200 via the network.

[0055] The storage unit 4 is realized by a storage device such as a ROM, a RAM, a flash memory, an HDD (Hard Disk Drive), etc. The storage unit 4 stores vehicle data transmitted from each in-vehicle device 50, instruction statement list information described with reference to FIG.

[0056] The controller 3 corresponds to a so-called processor. The controller 3 is realized by a CPU, an MPU, a GPU, or the like. The controller 3 executes a program according to an embodiment (not shown) stored in the storage unit 4, using a RAM as a work area. The controller 3 can also be realized by an integrated circuit such as an ASIC or an FPGA.

[0057] The controller 3 acquires vehicle data from the in-vehicle device 50 and generates educational materials for providing education on the trigger factors. Specifically, the controller 3 generates educational materials for the in-vehicle device 50 to be provided when the ADAS 104 is triggered due to a risky driving behavior of the driver.

[0058] For example, the controller 3 generates teaching materials based on a preset instructional statement list. A specific example of the instructional statement list will now be described with reference to Fig. 7. Fig. 7 is a diagram showing an example of the instructional statement list.

[0059] As shown in FIG. 7, the controller 3 generates teaching materials by selecting the appropriate words from a list of instruction words set for each of the items "ADAS function," "driving environment," and "driver status."

[0060] In the example of Figure 7, "ADAS function" indicates automatic braking, "driving environment" indicates an intersection, and "driver situation" indicates inattentiveness, and the controller 3 generates teaching materials by selecting instructional text that corresponds to these.

[0061] The example in Figure 7 shows the result of combining each list of instructional phrases to generate a sentence such as, "Were you distracted while driving when entering the intersection earlier? At intersections, be careful of oncoming vehicles and pedestrians crossing the street."

[0062] For example, when the "ADAS function" is automatic braking and the "driving environment" is an intersection, the controller 3 selects a list of guidance messages such as "Did you do XXXXX when entering the intersection? At intersections, be careful of oncoming vehicles and pedestrians crossing the street." Then, the controller 3 generates guidance messages by inserting "distracted driving," which is the "driver situation," into the "XXXXX" part.

[0063] In this way, the controller 3 can quickly generate teaching materials by generating the teaching materials based on a preset instructional statement list. Although the case where the controller 3 generates the instruction has been described here, the teaching materials may also be generated on the in-vehicle device 50 side.

[0064] Furthermore, the controller 3 generates additional educational materials according to the improvement status of each driver's risky driving behavior and provides them to the driver's terminal device (the student terminal 200). For example, the controller 3 counts the number of times each driver has committed a risky driving behavior for each type of risky driving behavior. Then, when the controller 3 determines that the driver has repeatedly committed a specific risky driving behavior, in other words, when the controller 3 determines that the driver is a habitual perpetrator of a specific risky driving behavior, it generates additional educational materials for the driver.

[0065] The controller 3 generates additional training materials using, for example, video captured by the driver's vehicle. That is, video captured by the in-camera 101 or the out-camera 102 while the driver is driving is used as the additional training materials.

[0066] In this way, the controller 3 generates additional educational materials using images that are familiar to the driver, which is expected to increase the driver's motivation for e-learning.

[0067] Then, the controller 3 provides the generated additional education material to the driver's training terminal 200. As a result, the driver receives training using the additional education material.

[0068] In this way, the controller 3 is expected to improve the driver's awareness of safe driving by providing additional educational materials to drivers who are habitually engaging in dangerous driving behavior.

[0069] Next, a processing procedure executed by the in-vehicle device 50 according to the embodiment will be described with reference to Fig. 8. Fig. 8 is a flowchart showing the processing procedure executed by the in-vehicle device 50. Note that the processing procedure shown below is repeatedly executed by the controller 53 every time the ADAS 104 is activated.

[0070] 8, first, the controller 53 determines whether or not the ADAS 104 has been activated (step S101). The controller 53 determines whether or not the ADAS 104 has been activated based on information notified from the ADAS 104. When the controller 53 determines in step S101 that the ADAS 104 has not been activated (step S101: No), the controller 53 repeatedly executes the processing of step S101.

[0071] Furthermore, when determining that the ADAS 104 has been activated (step S101: Yes), the controller 53 determines whether the activation of the ADAS 104 has been caused by a dangerous driving behavior by the driver (step S102).

[0072] The controller 53 analyzes the in-vehicle video captured by the in-camera 101 and determines whether or not the driver is engaging in dangerous driving behavior. If the controller 53 determines that the activation of the ADAS 104 is due to dangerous driving behavior (step S102: Yes), the controller 53 identifies the cause of the activation of the ADAS 104 (step S103).

[0073] Specifically, the controller 53 identifies a risky driving behavior by the driver as a trigger factor for the ADAS 104. Next, the controller 53 notifies the driver of the identified trigger factor (step S104).

[0074] Thereafter, the controller 53 determines whether or not the training implementation condition is met (step S105). The training implementation condition is met when the vehicle is stopped or when the driver's driving load is below a threshold value.

[0075] The controller 53 determines whether or not the education implementation conditions are met based on the sensor values ​​input from the in-vehicle sensor 103. If the controller 53 determines that the education implementation conditions are met (step S105: Yes), the controller 53 provides education to the driver regarding the trigger factors (step S106) and ends the process.

[0076] Furthermore, if the controller 53 determines in step S102 that the triggering factor of the ADAS 104 is not due to dangerous driving behavior by the driver (step S102: No), the controller 53 skips the subsequent processes and ends the process. Furthermore, if the controller 53 determines in step S105 that the education implementation condition is not met (step S105: No), the controller 53 repeatedly executes the process of step S105 until the education implementation condition is met.

[0077] Next, a processing procedure executed by the information processing device 1 according to the embodiment will be described with reference to Fig. 9. Fig. 9 is a flowchart showing the processing procedure executed by the information processing device 1. Note that the processing procedure shown below is repeatedly executed by the controller 3 every time risky driving behavior information is acquired.

[0078] 9, the information processing device 1 acquires risky driving behavior information from the in-vehicle device 50 (step S201). The risky driving behavior information is information that is transmitted when the ADAS 104 is activated due to risky driving behavior by the driver of the corresponding vehicle, and includes the type of risky driving behavior, the type of activated ADAS 104, location information, time information, etc.

[0079] Next, the information processing device 1 generates educational materials based on the risky driving behavior information (step S202). For example, the information processing device 1 generates educational materials by referring to a list of instructional statements and selecting statements corresponding to each item of risky driving behavior.

[0080] Next, the information processing device 1 provides the generated educational material to the in-vehicle device 50 that has transmitted the risky driving behavior information (step S203). Next, the information processing device 1 determines whether the driver to whom the educational material is to be provided is a habitual perpetrator of risky driving behavior (step S204).

[0081] For example, the information processing device 1 counts the number of times each driver has performed each risky driving behavior and determines whether the driver is a habitual risky driving behavior based on the number and frequency. If the information processing device 1 determines that the driver is a habitual risky driving behavior (step S204: Yes), it generates additional educational materials for the driver (step S205).

[0082] Then, the information processing device 1 provides the generated additional educational material to the driver to whom the additional educational material is to be provided (step S206), and ends the process. Also, if the information processing device 1 determines in step S204 that the driver is not a habitual perpetrator of dangerous driving behavior (step S204: No), the information processing device 1 omits the processes from step S205 onward and ends the process.

[0083] Further advantages and modifications will readily occur to those skilled in the art. Therefore, the invention in its broader aspects is not limited to the specific details and representative embodiments shown and described above. Accordingly, various modifications may be made without departing from the spirit or scope of the general inventive concept as defined by the appended claims and their equivalents. [Explanation of symbols]

[0084] 1. Information processing equipment 2. Communications Department 3 Controller 4 Storage section 50 Onboard equipment 51 Communications Department 52 Storage section 53 Controller 101 In-camera 102 Outer Camera 103 In-vehicle sensors 200 student terminals C vehicle S Information Processing System

Claims

1. a controller; The controller When a driving assistance system is activated due to a risky driving behavior by a driver of a vehicle, a factor that triggers the activation of the driving assistance system is identified; Notifying the driver of the trigger In-vehicle device.

2. The controller The driver is notified of the trigger in real time. The in-vehicle device according to claim 1 .

3. The controller After notifying the driver of the triggering factor, education regarding the triggering factor is provided while the vehicle is stopped or when the driver's driving load falls below a threshold. The in-vehicle device according to claim 1 .

4. The controller Conduct education using phrases selected from a pre-set list of teaching phrases The in-vehicle device according to claim 1 .

5. An information processing system including an in-vehicle device and an information processing device, The in-vehicle device When an advanced driving assistance system is activated in response to a risky driving behavior by a driver of a vehicle, a factor that triggers the activation of the advanced driving assistance system is identified; notifying the driver of the trigger; a controller that, after notifying the driver of the trigger factor, provides education on the trigger factor while the vehicle is stopped or when the driver's driving load falls below a threshold; The information processing device includes: a controller that generates teaching materials for providing education on the trigger factors based on the vehicle data transmitted from the in-vehicle device; Information processing system.

6. The information processing device includes: If the driver repeatedly engages in the risky driving behavior, additional educational materials for the driver are generated and the additional educational materials are distributed to a terminal device of the driver. The information processing system according to claim 5 .

7. The information processing device includes: generating the additional educational material using video footage captured by the driver's vehicle; The information processing system according to claim 6.

8. An information processing method executed by a controller, an identifying step of identifying a cause of activation of the driving assistance system when the driving assistance system is activated due to a risky driving behavior by a driver of the vehicle; a notification step of notifying the driver of the trigger; An information processing method including:

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